Generative AI in Swiss B2B: a sectoral shift
Note revised on 25 May 2026. Article originally published in March 2026 — full rewrite. This note absorbs the content of the piece previously titled "AI in 2026: what impact for brands", de-indexed and redirected to this page.
Generative AI is now integrated into an observable share of B2B practices in Switzerland, particularly in the upstream phase of the purchasing process — research, qualification, comparison. This integration is no longer a matter of foresight, it is observable in professional usage and in the requests addressed to consulting firms. What distinguishes 2026 from the two previous years is not the novelty of the phenomenon, it is the severity with which it now separates Swiss B2B actors who have structured their presence in these environments from those absent from them.
This note sets out the observable shift by sector, what it calls for from Swiss B2B brands, and the observation framework that follows.
The observable shift in three moments
The Swiss B2B decision-maker does not use generative AI to conclude a decision. They use it to prepare it. Three moments of this preparation have stabilised.
The first is discovery. A finance director looking for a consulting firm for a specific project no longer simply types "consulting firm Geneva" into Google. They formulate their question in a generative environment: "Which Swiss firms would you recommend to lead the digital transformation of a fiduciary of fifty staff?" The answer is not a list of ten links. It is a reasoned recommendation, citing a few actors, with a context that pre-qualifies each. If the B2B brand is not in that answer, it does not exist in the discovery phase of that buyer.
The second is evaluation. Once a shortlist has been formed — whatever channel produced it — the buyer returns to generative environments to dig into a specific actor. "What is said about [firm name]?" The model synthesises what its sources permit. If the brand has little structured editorial presence, little third-party authority — business press, sector rankings, professional publications — the answer will be brief, vague, sometimes inaccurate. This poverty of representation weighs on the decision in progress.
The third is comparison. "Compare [A] and [B] for [precise need]". The model composes an argumentative table. The most editorially well-represented actor will be presented in the most favourable light, independently of the actual quality of its services, which is never measurable by a model. It is in this asymmetry that the work of editorial presence takes on its full strategic weight.
Four Swiss B2B sectors where the shift is sharpest
The intensity of the shift varies by Swiss B2B sector. Four deserve particular attention.
Financial services and fiduciary firms constitute a sector where trust and reputation count more than any other signal. The Swiss fabric counts several thousand mid-sized fiduciary firms competing on cantonal or regional markets. For these structures, presence in models' responses on the queries of their client catchment becomes a strategic object. A fiduciary firm absent from recommendations on its own region loses a visibility channel that its competitors are structuring.
Strategic consulting and professional services operate in an environment where word of mouth remains central, but where it is now mediated by generative environments. An executive preparing a consulting mandate obtains reasoned recommendations in a few seconds. The brand that produces structured editorial content and maintains third-party authority on its subjects is favoured in this mediation, with no mechanical relation to its size.
Swiss precision industry and microtechnology operate on global markets where the buyer sources a supplier from Berlin, Boston or Singapore. Industrial buyers use generative environments to identify partners on precise technical niches. The industrial brand whose technical content is clear, structured, accessible — and present in several languages when its market requires it — has greater chances of being cited. The one whose site exposes only commercial brochures risks being absent.
Cloud integration and managed IT services operate in a domain where the rapid evolution of technologies pushes buyers to query generative environments to qualify market options. The presence of a Swiss managed IT provider in these responses depends on the quality of its public technical documentation, on the precision of the use cases it exposes, and on the multilingual coherence of its site when it serves several linguistic regions.
What Swiss B2B brands now arbitrate
The shift described above displaces the value of B2B communication. Three operational observations follow.
The homogenisation of generated content penalises lazy content. Generative AI has democratised the mass production of standardised content. When an entire sector publishes the same type of content with the same tools and the same templates, differentiation disappears. Generic content reduces to a background noise that the models, now trained to distinguish actual usefulness for the user, set aside in favour of content that brings its own substance. Google's doctrine published on 15 May 2026 confirmed that the central ranking systems operate this selection on quality, not on production mode[1].
Value shifts from execution to a strategy of presence. Producing content is no longer the act that distinguishes. Defining one's own angle, holding a reasoned thesis, maintaining editorial coherence over time, structuring the diffusion of this content among credible third parties — that is what distinguishes. This value cannot be outsourced to a tool. It is built through firm discipline or through substantial editorial investment within the company.
Swiss multilingualism becomes a net comparative asset. Generative models produce different recommendations depending on the query language. A B2B brand that covers French, German and English with equivalent editorial quality in each language holds an observable advantage over competitors that neglect one of the three market languages. Italian coverage is added for sectors addressing Ticino or the cross-border Lombard market.
Compliance as bedrock, not as pretext
The use of generative AI in B2B processes touches the FADP as soon as it intersects with personal data. Information to customers and prospects on the eventual use of generated content, legal basis for profiling processing, transparency on international data transfers: these obligations apply to any Swiss B2B brand, regardless of size[2].
Editorial optimisation of a company's presence in generative environments — what the market improperly called "GEO" until May 2026 — does not process personal data. It is editorial work on public content, and remains fully compatible with the Swiss legal framework.
The observation framework this new reality calls for
For a Swiss B2B brand wishing to integrate this shift into its strategy, the observation framework articulates in four steps. A baseline diagnosis that establishes the current situation — which decision queries concern the company, how it is represented by the main generative models on these queries, what the gaps are by evaluation theme. An explicit prioritisation of the gaps that warrant corrective work and those that do not. Editorial and structural work on the retained gaps, conducted patiently. A new measurement at a stable cadence — quarterly for most sectors, monthly for those of high volatility — that turns a point-in-time measurement into a trajectory tracker.
The Score GEO™ the firm has stabilised for this purpose is set out in full in the Cahier MCVA n°1. Cahier MCVA n°2, scheduled for October 2026, will specifically address the application of this measurement to the six most structuring Swiss B2B verticals.
The shift is not a revolution. It is an operational reality to be managed, without urgency or dramatisation, through a discipline that distinguishes the brands consolidating their position from those merely reacting to the market's announcements.
Sources
[1] Google Search Central, Optimizing your website for generative AI features on Google Search, published 15 May 2026. developers.google.com/search/docs/fundamentals/ai-optimization-guide [↩]
[2] Federal Act on Data Protection (FADP), revision of 25 September 2020, in force since 1 September 2023. www.fedlex.admin.ch/eli/cc/2022/491/en [↩]
Jérôme Deshaie is CEO of MCVA Consulting SA, a Swiss firm specialising in strategic consulting on artificial intelligence, based in Valais.
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